TITLE

Rule-Based vs. Behavior-Based Self-Deployment for Mobile Wireless Sensor Networks

AUTHOR(S)
Urdiales, Cristina; Aguilera, Francisco; González-Parada, Eva; Cano-García, Jose; Sandoval, Francisco
PUB. DATE
July 2016
SOURCE
Sensors (14248220);Jul2016, Vol. 16 Issue 7, p1047
SOURCE TYPE
Academic Journal
DOC. TYPE
Article
ABSTRACT
In mobile wireless sensor networks (MWSN), nodes are allowed to move autonomously for deployment. This process is meant: (i) to achieve good coverage; and (ii) to distribute the communication load as homogeneously as possible. Rather than optimizing deployment, reactive algorithms are based on a set of rules or behaviors, so nodes can determine when to move. This paper presents an experimental evaluation of both reactive deployment approaches: rule-based and behavior-based ones. Specifically, we compare a backbone dispersion algorithm with a social potential fields algorithm. Most tests are done under simulation for a large number of nodes in environments with and without obstacles. Results are validated using a small robot network in the real world. Our results show that behavior-based deployment tends to provide better coverage and communication balance, especially for a large number of nodes in areas with obstacles.
ACCESSION #
120515263

 

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